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# # 太陽と地球と月
# 太陽と公転する地球、月を描画するコードです。
# それっぽく見えるだけで実態は円... | 3.sun_earth_moon_using_FuncAnimation.ipynb |
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import warnings
warnings.filterwarnings('ignore')
# +... | Heart_disease_pridiction/heart-disease-prediction-final-version.ipynb |
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# # Distance prediction with bouts: assess performance... | ipnotebooks/manuscript_figures/Fig. 8 and 9 - Gas invariance of distance prediction.ipynb |
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# # EDA
#
# ## Distribution of target variable
from e... | notebooks/EDA.ipynb |
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from mako.template import Template
from datetime impor... | notebooks/surge_warning.ipynb |
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# cd ..
import dlib
import glob
import os
from tqdm import... | notebooks/align_data.ipynb |
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# # Prepare MNIST dataset a... | experiments/MNIST/1_Prepare_datasets.ipynb |
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# <!-- dom:TITLE: PHY321: Motion examples, Forces, New... | doc/pub/week4/ipynb/.ipynb_checkpoints/week4-checkpoint.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | FinRL_Raytune_for_Hyperparameter_Optimization_RLlib Models.ipynb |
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import dagstermill
import pandas as pd
import sklearn.... | python_modules/libraries/dagstermill/dagstermill/examples/notebooks/tutorial_RF.ipynb |
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import geop... | script/Plotting emissions intensity.ipynb |
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# # GeoNet FDSN webservice with Obspy demo - Event Ser... | Seismic_Data/Python/GeoNet_FDSN_demo_event.ipynb |
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# # Visualização de dados - Oficina Aula 2.1
#
# Olá, ... | Visualizacao_de_dados/Oficina_Aula_2.1.ipynb |
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# <img src="../ancillarydata/logos/LundUniversity_C2li... | notebooks/education/PhD/upscaling_carbon_fluxes/notebooks/htm_eco_drought_2018.ipynb |
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# # Bayesian Regression - Inference Algorithms (Part 2... | tutorial/source/bayesian_regression_ii.ipynb |
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# <!--BOOK_INFORMATION-->
# <img align="left" style="p... | Lectures/14-Modules-and-Packages.ipynb |
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# <h1> 5. Interactive Data Analysis </h1>
#
# This not... | quests/data-science-on-gcp-edition1_tf2/05_bqnotebook/exploration.ipynb |
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# # Planet Data Collection
# Using the Open Exoplanet ... | ch_09/planet_data_collection.ipynb |
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# + id="QyFtuz0qFYF1" colab_type="code" colab={"base_uri": "https://localhost... | day3_simple_model.ipynb |
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# # IST 652 Lab #6
# ### Instructions
# - Complete all... | IST652 - Lab 6-Sunkara.ipynb |
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# <h1 style="font-size: 20pt">Python Notebook | Beginn... | Python/.ipynb_checkpoints/Python Notebook | Beginner-checkpoint.ipynb |
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#
# BikeShare Pollution Analysis
#
#
# Created by... | Python_Analysis/Bikeshare_Pollution_Analysis.ipynb |
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import xarray as xr
import numpy as np
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# %matplotlib widget
from util import get_path
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# # Fast Style Transfer with FastEstimator
#
# In this... | docs/apphub/image_styletransfer/fst_coco/fst_coco.ipynb |
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lines = [html.unescape(line.rst... | notebooks/preprocess.ipynb |
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import pandas as pd
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using LinearAlgebra
using SparseArrays
using Diffe... | files/research/.ipynb_checkpoints/Stationary_Distribution_Solvers-checkpoint.ipynb |
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# # Naive Bayes Hidden Markov Coin Toss
# author: <NA... | examples/naivebayes_hmm_cheating_coin_toss.ipynb |
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# # Introduction to Python
# Ported to python ... | open-intro-statistics/python-labs/Introduction to Python.ipynb |
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# # First notebook:
#
# This notebook contains a demo... | dev/02052017_FirstNotebook_MECP_updated.ipynb |
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# # MultiresPolar
import numpy as np
import pickle
im... | sample_images/MultiresPolar.ipynb |
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# # Testing the query API for the EP-full-text data
#... | notebooks/query_full_text_with_API.ipynb |
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# Sample API
import flowx
flowx.__version__
# +
# Def... | examples/ins/lid_driven_cavity/ins_ab2_explicit.ipynb |
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import ETL as etl
# %matplotlib inline
from datetime ... | TestNotebook.ipynb |
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import requests # library to handle requests
impor... | Contents/Cities/San Francisco/sanfran_fsquare+cluster.ipynb |
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# # Example usage of a (skeleton for a) diffable HEP l... | example_smooth.ipynb |
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# # 从网页中截取文章内容
# ## 步骤1：网址
url = 'http://blog.jobbol... | Webpage_Download.ipynb |
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# Idea for spectrogram error bars
#
# 1. For each pixe... | combine_counts/Combine counts and resample.ipynb |
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# # Eigen-Vectors & Eigen-Values of Stock Returns Corr... | _notebooks/2020-11-21-Finding-eigenvalues-and-eigenvectors-of-stock-returns-correlation-matrix.ipynb |
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import numpy as np
import pandas as pd
from sklear... | ArticleClassifier_Logistic_Regression.ipynb |
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# # Visualizing streamlines
# https://www.... | python/matplotlib/vector-streamlines.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # 8 Queens Problem - Solving using DWave C... | 8Queens/8Queens_CQM2BQM.ipynb |
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# # Field, Goldsmith, & Habing Multi-Phase ISM
#
# Fig... | Chapter1/Fig1_FGH.ipynb |
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# ## Fitting Decision Tree Regression to the dataset
... | .ipynb_checkpoints/Part A - DecisionTree_RandomForest-checkpoint.ipynb |
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# # 1. Frame the Problem
#
# - Descriptive
# - Explora... | drinks.ipynb |
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import pandas as pd
import numpy as np
df_category = p... | import-database.ipynb |
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# ## A Live [SEIR](https:/... | binder/covid-19.ipynb |
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# %load_ext noworkflow
# nip = %now_ip
def first(... | tests/tapp/Presentation/Backup.ipynb |
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# + [markdown] id="view-in-github"
# <a href="https://... | notebooks-d2l/gru_jax.ipynb |
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# + tags=["hide"]
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# Get some data to play with
from sklearn.datasets im... | 01 - Introduction to Scikit-learn.ipynb |
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from pascal_voc_writer import Wri... | 12th day - Autolabel shape dataset/auto_label.ipynb |
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# importing the required libraries
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# Since its emergence in Asia late 2019, the coronavir... | coronavirus-covid19-stocks-analysis.ipynb |
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# # Feature Extraction Continued
# +
import os
impor... | AI-for-Healthcare/wearable-data/lesson 4/Feature Extraction Continued.ipynb |
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# + id="KWlC_IGH76Ul" colab_type="code" outputId="b5a5f284-7976-460d-bbf4-7fe... | day3_simple_model.ipynb |
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# # Chapter 3 Applied Labs
#
# ## Q8
#
# ### (a) Perfo... | Chapter3/Labs/question8.ipynb |
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# SPDX-FileCopyrightText: 2019 oemof developer group <... | example/turbine_cluster_modelchain_example.ipynb |
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# # <span style="color:Maroon">Crab Age Prediction - G... | Codes/05Crab_Age_Prediction_GBMModel.ipynb |
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'''Trains a LSTM on the IMDB sentiment classificat... | old/5-1 RNN imdb.ipynb |
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# %matplotlib notebook
import matplotlib.pyplot a... | examples/notebooks/03_Visualize_3d_pointcloud.ipynb |
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# !pip install bsuite
# !pip install seaborn
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impo... | analysis/Memory-Size-Analysis.ipynb |
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from model import UniSkip, Encoder
from data_loade... | Evaluate.ipynb |
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# # Anime Recommendation System using Nearest Neighbor... | model/anime_recommendation_nearest_neighbors.ipynb |
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from libtiff import TIFF
import cv2
import numpy as np... | Segmentation/Unet_inference.ipynb |
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import nump... | 2016_07_14_drugie_czesc_2_Kabat_style.ipynb |
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# # Manipulation des données de nuScenes avec panda
#... | nuscenes_decouverte.ipynb |
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import pandas as pd
columns = ['Year','Incumbent ... | 2.1.3 Assignment Mastin.ipynb |
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# <a id="title_ID"></a>
# # JWST Pipeline Validation N... | jwst_validation_notebooks/persistence/jwst_persistence_unit_tests.ipynb |
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experiment_label = 'LSVC01_abs'
user_label = 'tay_don... | notebooks/tay_donovan_12964300_week3_linearSVC_abs_C0.1.ipynb |
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# + [markdown] pycharm={"name": "#%% md\n"} id="VQwXfp... | DCOD_Implementation.ipynb |
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# + id="T79EZr2jnZVF" colab_type="code" outputId="0f11e0d7-50d0-49f9-c62b-87f... | UNet/Unet.ipynb |
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import tensorflow as tf
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# # Overview
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# This notebook is a scratch space in s... | ComparisonGroupScratchSpace.ipynb |
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# + [markdown] raw_mimetype="text/restructuredtext"
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# Please create a statement that adds the second eleme... | Shah_Rohan_Lab1.ipynb |
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# + _cell_guid="b1076dfc-b9ad-4769-8c92-a6c4dae69d19" ... | 03-other-features.ipynb |
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# # Plots
# One of the most amazing feature of hist is it's ... | docs/user-guide/notebooks/Plots.ipynb |
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# # Building a Recommender System with Amaz... | fm_amazon_recommender.ipynb |
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# + _uuid="3e382d4ce5da1553d0578a6ad1ca1cf2b9995104" _... | SpookyAuthorDetection.ipynb |
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# # FYD 600: Introduction to deep learning and reinfor... | Courses/Introductory Machine Learning FYD600/Assignment 2/Uppgift_2/Assignment_2_2020.ipynb |
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os.environ['CUDA_VISIBLE_DEVICES']='0,1,2,3'... | moving_mnist/.ipynb_checkpoints/main_run-checkpoint.ipynb |